Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/29675
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dc.contributor.advisor吳柏林zh_TW
dc.contributor.author陳孝煒zh_TW
dc.creator陳孝煒zh_TW
dc.date2006en_US
dc.date.accessioned2009-09-11T08:01:55Z-
dc.date.available2009-09-11T08:01:55Z-
dc.date.issued2009-09-11T08:01:55Z-
dc.identifierG0093751014en_US
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/29675-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description應用數學研究所zh_TW
dc.description93751014zh_TW
dc.description95zh_TW
dc.description.abstract傳統的迴歸是假設觀測值的不確定性來自於隨機,模糊迴歸則是假設不確定性來自多重隸屬現象。一般的模糊迴歸採用樣本模糊數 來對模糊迴歸參數進行估計,其中 為觀測模糊數, 依舊為實數值。我們認為 的假設不能真實地表達出樣本所蘊含的資訊,本研究將假設 也為模糊數,如此一來對樣本的解釋方式將更為貼近現實,且估計的過程則採用通用的最小平方估計,保留迴歸原始精神但是在模糊數上則有更深入的探究。迴歸常用來建構經濟和財務的模型,而此種模型經常帶有模糊的特質,例如景氣循環、不規則趨勢等。在本文中也會舉出例子來輔助說明此研究的實用性。\r\n\r\n關鍵字:模糊迴歸參數區間估計、最小平方法、區間模糊數距離zh_TW
dc.description.tableofcontents第1章 前言…………………………………………………………..2\r\n第2章 模糊回歸的架構……………………………………………..3 \r\n第3章 模糊迴歸模式的參數估計…………………………………..4\r\n第4章 性質…………………………………………………………..10\r\n第5章 推廣…………………………………………………………..13\r\n第6章 實例探討……………………………………………………..15\r\n第7章 結論…………………………………………………………..18\r\n參考文獻……………………………………………………………....20\r\n附註……………………………………………………………..……..21\r\n註1樣本擴大t倍之證明………………………….…………………21\r\n註2樣本平移t單位之證明………………………….………………22\r\n註3實例探討的圖表和數據完整推導………………...…………….24zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0093751014en_US
dc.subject模糊迴歸參數區間估計zh_TW
dc.subject最小平方法zh_TW
dc.subject區間模糊數距離zh_TW
dc.title模糊樣本之區間迴歸分析zh_TW
dc.typethesisen
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